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      name:  <unnamed>
       log:  /Users/tg2778/Dropbox/0_Reviews_RnRs/072022_JOP_Roads/v3_JOP/Replication - Roads/4_Log/115_Competition.log
  log type:  text
 opened on:  20 Jan 2023, 16:05:34

. 
. use "1_Data/AC_pre-delim_dataset.dta", clear
(Written by R.              )

. 
. egen acstateid = concat(VD01_AC_id stateid),p("_")

. 
. gen bjptop3=0

. replace bjptop3=1 if bjp_position_t0==2
(620 real changes made)

. 
. gen inctop3=0

. replace inctop3=1 if inc_position_t0==2
(684 real changes made)

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac1

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac2

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec i.rulingparty, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac3

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec##i.rulingparty, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac4

. 
. quietly areg changebjp c.z2totalvill if bjptop3==1 & (state=="madhya pradesh" | state=="rajasthan"), absorb(statedistrict2) cluster(acstateid)

. quietly estimates store bjpac1

. quietly estadd ysumm, me

. 
. quietly areg changebjp c.z2totalvill if bjptop3==1 & BJPvINC==1 & BJPmajorgovt==0, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store bjpac2

. quietly estadd ysumm, me

. 
. 
. ****************************************
. 
. use "1_Data/AC_post-delim_dataset.dta", clear
(Written by R.              )

. 
. egen acstateid = concat(VD01_AC_id stateid),p("_")

. 
. gen bjptop3=0

. replace bjptop3=1 if bjp_position_t2==2
(378 real changes made)

. 
. gen inctop3=0

. replace inctop3=1 if inc_position_t2==2
(646 real changes made)

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac5

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac6

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec i.rulingparty, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac7

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec##i.rulingparty, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store ac8

. 
. quietly areg changebjp c.z2totalvill if bjptop3==1 & (state=="maharashtra" | state=="rajasthan"), absorb(statedistrict2) cluster(acstateid)

. quietly estimates store bjpac3

. quietly estadd ysumm, me

. 
. quietly areg changebjp c.z2totalvill if bjptop3==1 & BJPvINC==1 & BJPmajorgovt==0, absorb(statedistrict2) cluster(acstateid)

. quietly estimates store bjpac4

. quietly estadd ysumm, me

. 
. *******************
. 
. esttab ac* using "2_Tables/Appendix_Table_G5_1.doc", replace rtf nobase noomit cells(b(star fmt(3)) se(par fmt(3))) collabels(none) nomtitles 
> mgroups("Pre-delimitation ACs" "Post-delimitation ACs", pattern(1 0 0 0 1 0 0 0)) varlabels(z2totalvill "Δ connectivity" 1.closeelection "Clos
> e elections" 1.closeelection#c.z2totalvill "Close elections × Δ connectivity" 1.rulingparty "Ruling party" 1.rulingparty#c.z2totalvill "Ruling
>  party × Δ connectivity" 1.closeelection#1.rulingparty "Close × Ruling party" 1.closeelection#1.rulingparty#c.z2totalvill "Close × Ruling × Δ 
> connectivity") drop(_cons) title("The effect of roads provision in competitive races on incumbent support in state elections") addnote("\i{Not
> es:}\i0 The dependent variable is change in the state-level incumbent party/ coalition vote share in consecutive state-level elections, measur
> ed in %. Each model contains a district fixed effect and a constant that is not reported. Standard errors are clustered to the district level.
>  *** p<0.001, ** p<0.01, * p<0.05") substitute("\fs20" "\fs16" "\fs24" "\fs16") varwidth(18) modelwidth(4 3 3 3 4 3 3 3)
(output written to 2_Tables/Appendix_Table_G5_1.doc)

. 
. 
. ******************
. 
. esttab bjpac* using "2_Tables/Appendix_Table_G5_3.doc", replace rtf nobase noomit cells(b(star fmt(3)) se(par fmt(3))) collabels(none) nomtitl
> es mgroups("Pre-delimitation" "Post-delimitation", pattern(1 0 1 0)) varlabels(z2totalvill "Δ connectivity") keep(z2totalvill) title("The effe
> ct of roads on Δ BJP's voteshare when BJP candidates are main challengers in the baseline election: State constituencies") addnote("\i{Notes:}
> \i0 For (1) & (3), the sample refers to those constituencies where a BJP candidate occupies second position in previous election, the BJP is n
> ot the ruling party at the state level, and the electoral competition is between BJP and INC at the state level. For (2) & (4), the sample ref
> ers to those constituencies where a BJP candidate occupies second position in previous election, the BJP is not the ruling party at the state 
> level, and the electoral competition is between BJP and INC at the constituency level, that is, the incumbent is from the INC. The mean Δ BJP 
> voteshare also refers to the respective sample. Each model contains a district fixed effect and a constant that is not reported. Standard erro
> rs are clustered to the constituency-level. *** p<0.001, ** p<0.01, * p<0.05") scalars("ymean Mean Δ BJP voteshare") sfmt("%9.3f") obslast var
> width(20) modelwidth(12 6 12 6)
(output written to 2_Tables/Appendix_Table_G5_3.doc)

. 
. 
. 
. **********************************************************************************************
. 
. use "1_Data/PC_pre-delim_dataset_select.dta", clear
(Written by R.              )

. 
. egen pcstate = concat(PC_no_2001 stateid),p("_")

. 
. gen bjpchallenger= 0

. replace bjpchallenger= 1 if party_2=="BJP"
(91 real changes made)

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec, absorb(state2) cluster(pcstate)

. quietly estimates store pc1

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec, absorb(state2) cluster(pcstate)

. quietly estimates store pc2

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec i.rulingparty, absorb(state2) cluster(pcstate)

. quietly estimates store pc3

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec##i.rulingparty, absorb(state2) cluster(pcstate)

. quietly estimates store pc4

. 
. quietly areg changebjp c.z2totalvill##i.bjpchallenger, absorb(state2) cluster(pcstate)

. quietly estimates store bjppc1

. egen bjpmean = mean(changebjp) if bjpchallenger==1
(295 missing values generated)

. quietly estadd scalar meany = bjpmean[316]

. 
. 
. ****************************************************
. 
. use "1_Data/PC_post-delim_dataset_select.dta", clear
(Written by R.              )

. 
. egen pcstate = concat(PC_no_2001 stateid),p("_")

. 
. gen bjpchallenger= 0

. replace bjpchallenger= 1 if party_2=="BJP"
(69 real changes made)

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec, absorb(state2) cluster(pcstate)

. quietly estimates store pc5

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec, absorb(state2) cluster(pcstate)

. quietly estimates store pc6

. 
. quietly areg change_incumbentvoteshare z2totalvill i.closeelec i.rulingparty, absorb(state2) cluster(pcstate)

. quietly estimates store pc7

. 
. quietly areg change_incumbentvoteshare c.z2totalvill##i.closeelec##i.rulingparty, absorb(state2) cluster(pcstate)

. quietly estimates store pc8

. 
. quietly areg changebjp c.z2totalvill##i.bjpchallenger, absorb(state2) cluster(pcstate)

. quietly estimates store bjppc2

. egen bjpmean = mean(changebjp) if bjpchallenger==1
(251 missing values generated)

. quietly estadd scalar meany = bjpmean[227]

. 
. 
. 
. ************************
. 
. esttab pc* using "2_Tables/Appendix_Table_G5_2.doc", replace rtf nobase noomit cells(b(star fmt(3)) se(par fmt(3))) collabels(none) nomtitles 
> mgroups("Pre-delimitation PCs" "Post-delimitation PCs", pattern(1 0 0 0 1 0 0 0)) varlabels(z2totalvill "Δ connectivity" 1.closeelection "Clos
> e elections" 1.closeelection#c.z2totalvill "Close elections × Δ connectivity" 1.rulingparty "Ruling party" 1.rulingparty#c.z2totalvill "Ruling
>  party × Δ connectivity" 1.closeelection#1.rulingparty "Close × Ruling party" 1.closeelection#1.rulingparty#c.z2totalvill "Close × Ruling × Δ 
> connectivity") drop(_cons) title("The effect of roads provision in competitive races on incumbent support in national elections") addnote("\i{
> Notes:}\i0 The dependent variable is change in the national level incumbent party/ coalition vote share in consecutive national level election
> s, measured in %. Each of the predictors seen in the table is standardized. Each model contains a state fixed effect and a constant that is no
> t reported. Standard errors are clustered to the state-level. *** p<0.001, ** p<0.01, * p<0.05") substitute("\fs20" "\fs16" "\fs24" "\fs16") v
> arwidth(18) modelwidth(4 3 3 3 4 3 3 3)
(output written to 2_Tables/Appendix_Table_G5_2.doc)

. 
. 
. ************************
. 
. esttab bjppc* using "2_Tables/Appendix_Table_G5_4.doc", replace rtf nobase noomit cells(b(star fmt(3)) se(par fmt(3))) collabels(none) mtitles
> ("Pre-delimitation" "Post-delimitation") varlabels(z2totalvill "Δ connectivity" 1.bjpchallenger "BJP challenger" 1.bjpchallenger#c.z2totalvill
>  "BJP challenger × Δ connectivity") drop(_cons) title("The effect of roads on Δ BJP's voteshare when BJP candidates are main challengers in th
> e baseline election: National constituencies") addnote("\i{Notes:}\i0 Each model contains a state fixed effect and a constant that is not repo
> rted. Standard errors are clustered to the constituency-level. *** p<0.001, ** p<0.01, * p<0.05") scalars("meany Mean Δ BJP voteshare (Challen
> ger constituencies)") sfmt("%9.3f") obslast varwidth(24) substitute("\fs20" "\fs16" "\fs24" "\fs20")
(output written to 2_Tables/Appendix_Table_G5_4.doc)

. 
. 
. ***************************************************************************************
. 
. 
. use "1_Data/upboothdataset_1km.dta", clear

. 
. quietly areg b_chgincvoteshare i.boothtreated2012 if acwinner_sp==1, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up1

. quietly estadd local sp "SP constituencies"

. 
. quietly areg changebjp i.boothtreated2012 if acwinner_bjp==1, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up2

. quietly estadd local sp "BJP constituencies"

. 
. quietly areg b_chgincvoteshare i.boothtreated2012##c.z2newspap, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up3

. quietly estadd local sp "Full"

. 
. quietly areg b_chgincvoteshare i.boothtreated2012##c.z2commfac, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up4

. quietly estadd local sp "Full"

. 
. quietly areg b_chgincvoteshare i.boothtreated2012##c.z2eduaccess, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up5

. quietly estadd local sp "Full"

. 
. quietly areg b_chgincvoteshare i.boothtreated2012 if closeelection==1, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up6

. quietly estadd local sp "Close- elections"

. 
. quietly areg b_chgincvoteshare i.boothtreated2012 if closeelection==1 & acwinner_sp==1, absorb(ac_id_09) cluster(ac_id_09)

. quietly estimates store up7

. quietly estadd local sp "Close-elections & SP constituencies"

. 
. 
. *****************
. 
. esttab up* using "2_Tables/Appendix_Table_G6.doc", replace rtf nobase noomit cells(b(star fmt(3)) se(par fmt(3))) collabels(none) mtitles("SP 
> voteshare" "BJP voteshare" "SP voteshare" "SP voteshare" "SP voteshare" "SP voteshare" "SP voteshare") varlabels(1.boothtreated2012 "PMGSY roa
> d" z2newspap "Media availability (std.)" 1.boothtreated2012#c.z2newspap "PMGSY road × Media availability (std.)" z2commfac "Comm. facility (st
> d.)" 1.boothtreated2012#c.z2commfac "PMGSY road × Comm. facility (std.)" z2eduaccess "Edu. facility (std.)" 1.boothtreated2012#c.z2eduaccess "
> PMGSY road × Edu. facility (std.)") drop(_cons) title("UP: Information rich environment and competitiveness") addnote("\i{Notes:}\i0 Standard 
> errors are clustered to the state-level. *** p<0.001, ** p<0.01, * p<0.05") varwidth(22) substitute("\fs20" "\fs16" "\fs24" "\fs16") modelwidt
> h(5 5 3 3 3 3 7) scalars("sp Sample")
(output written to 2_Tables/Appendix_Table_G6.doc)

. 
. 
. log close
      name:  <unnamed>
       log:  /Users/tg2778/Dropbox/0_Reviews_RnRs/072022_JOP_Roads/v3_JOP/Replication - Roads/4_Log/115_Competition.log
  log type:  text
 closed on:  20 Jan 2023, 16:05:36
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